Chennai, March 11 (NationPress) In a significant initiative aimed at bolstering the monitoring and enforcement of waste management laws, the Greater Chennai Corporation (GCC) has announced plans to install Artificial Intelligence (AI)-powered camera systems on 55 enforcement vehicles throughout the city.

This initiative is designed to identify infractions such as illegal dumping, improper waste disposal, and non-adherence to Solid Waste Management (SWM) regulations in real time.

To realize this project, the GCC has called for bids to select a System Integrator (SI) tasked with the deployment, integration, and maintenance of the AI surveillance systems.

The camera systems will be linked to the Integrated Command and Control Centre (ICCC) situated at the GCC headquarters, allowing officials to oversee field operations and violations across the city’s various zones.

Officials have stated that the enforcement vehicles already play a vital role in pinpointing waste management violations in Chennai.

By outfitting these vehicles with AI cameras, the corporation seeks to enhance its monitoring capabilities and boost compliance with SWM regulations.

A senior official from the GCC mentioned that the corporation currently operates a fleet of 55 enforcement vehicles that are equipped with GPS tracking, geofencing features, and predetermined route mapping.

“Any unauthorized deviation from the designated route triggers an automated alert on the monitoring dashboard at the ICCC. With the installation of AI-enabled cameras, enforcement standards will be significantly strengthened, making monitoring more efficient,” the official stated.

The chosen System Integrator will manage the comprehensive deployment of the vehicle-mounted AI cameras, which includes installation, configuration, testing, commissioning, and ongoing maintenance.

This firm will also supply technical personnel and oversee the operation and upkeep of the system for one year post-launch.

Officials indicated that the system will allow recorded footage and data from the vehicles to be sent to the ICCC for centralized monitoring and analysis.

This is anticipated to facilitate quicker decision-making, enhance operational efficiency, and promote data-driven governance within the city's waste management enforcement framework.

Beyond detecting waste-related violations, the system will also keep an eye on above-ground urban utilities and public infrastructure, including roads, sidewalks, parking zones, pedestrian lighting, median lighting, roadside billboards, and signage.

AI and Machine Learning tools will be employed to automatically detect violations during field inspections.

The proposed systems will feature tamper-proof, vehicle-grade cameras equipped with a 15-day storage capacity, GPS tagging, and timestamping.

They will be integrated with the ICCC’s Video Management System (VMS) to facilitate remote monitoring and incident review. To ensure seamless data transmission, the cameras will utilize secure 4G and 5G connectivity through VPN or APN networks for real-time HD streaming and GPS tracking.

In the event of network interruptions, the system will locally store footage and automatically synchronize it once connectivity is reestablished.

The cameras will be installed using vibration-resistant brackets designed to maintain a steady field of view even when vehicles are in motion during inspections.

Officials added that further steps for project execution will be determined after the tender process concludes, especially as the Model Code of Conduct (MCC) is expected to take effect in the upcoming months.